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Durable Streams

Kafka-style semantics for client streaming over HTTP

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Hey, I'm a co-founder at ElectricSQL. Durable Streams is the delivery protocol underneath our Postgres sync engine—we've been refining it in production for 18 months.The core idea: streams get their own URL and use opaque, monotonic offsets. Clients persist the last offset they processed and resume with "give me everything after X." No server-side session state, CDN-cacheable, plain HTTP.We kept seeing teams reinvent this for AI token streaming and real-time apps, so we're standardizing it as a standalone protocol.The repo has a reference Node.js server and TypeScript client. Would love to see implementations in other languages—there's a conformance test suite to validate compatibility.Happy to dig into the design tradeoffs—why plain HTTP over WebSockets, etc.

HN · launched Dec 9, 2025 · 10 upvotes (top 51%) · 0 views

Niche: event streaming platforms · 38 launches, 2 in the last 7 days · Explore this niche →

Category and tags
  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

More like this: all 38 launches in event streaming platforms →

Could you build this?

No Implementing durable HTTP streaming semantics with opaque monotonic offsets and distributed consensus is deep distributed systems engineering. It requires low-level network protocol design, high-performance WAL handling, and rock-solid fault tolerance.

What it would actually take: Requires an Elixir, Rust, or Go backend tailored for streaming and connection multiplexing, integrated with Postgres logical replication (WAL decoding). The system needs robust distributed storage for stream offsets, HTTP chunked transfer / Server-Sent Events handling with backpressure, and comprehensive correctness testing under network partitions.

Discussion

3 comments analyzed.

Competitors mentioned: Automerge, Loro, Yjs, CRDTs (Conflict-free Replicated Data Types)

Competitors

Other products that read as similar to this one : 158 launches clear the similarity bar, closest 8 shown.

Attention rank: #77 of 159 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 38 days after the earliest competitor.

Related data

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